Title :
On the use of SSIM in HEVC
Author :
Tiesong Zhao ; Kai Zeng ; Rehman, Akif ; Zhou Wang
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
Abstract :
The Structural SIMilarity (SSIM) index has been attracting an increasing amount of attention recently in the video coding community as a perceptual criterion for testing and optimizing video codecs. Meanwhile, the arrival of the new MPEG-H/H.265 High Efficiency Video Coding (HEVC) standard creates new opportunities and challenges in perceptual video coding. In this paper, we first elaborate what are the attributes that make SSIM a good candidate for perception-based development of HEVC and future video coding standards for both testing and optimization purposes. We then address the computational issues in practical applications of SSIM in HEVC, in particular the trade-off between efficient computation and accurate estimation of SSIM when working with video codecs that have sophisticated block partitioning structures and aim for encoding videos with a wide range of spatial resolutions.
Keywords :
optimisation; video codecs; video coding; H.265; HEVC standard; MPEG-H; SSIM index; block partitioning structure; high efficiency video coding; optimization purpose; perception-based development; perceptual video coding; spatial resolutions; structural similarity index; video codecs; Computational modeling; Encoding; Optimization; PSNR; Standards; Video codecs; Video coding; H.265; MPEG-H; high efficiency video coding (HEVC); perceptual optimization; perceptual video coding; structure similarity (SSIM); video coding; video quality assessment;
Conference_Titel :
Signals, Systems and Computers, 2013 Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4799-2388-5
DOI :
10.1109/ACSSC.2013.6810465